Will
Long

Started a political tech startup providing political campaigns with a CRM software platform for voter file data, polling and machine learning tools, and an integrated suite of voter outreach capabilities including calls, texts, and canvassing. Built the first two versions on a React Typescript, FastAPI Python, and Postgres stack. Served over 2,000 campaigns and 30,000 volunteers powering 60M voter contacts. Raised Series A funding from leading investors and managed a team of 15 superstars.

Took a gap year to help spearhead the first pilot deployments of Palantir at the US Department of Agriculture and the US Army. Built enterprise-scale data pipelines using PySpark and core product features using Typescript, Java, and Elasticsearch including a geospatial caching and search service.

Was the first intern hired for Amazon’s stealth brick-and-mortar no-checkout store to build machine vision and deep learning algorithms. Wrote production code in Java, Python, and C++ that identified false positive and negative imagery, achieving an error rate below 0.01%.

Thomas Hoopes prize and Summa Cum Laude senior thesis